Udvidet returret til d. 31. januar 2025

Probability and Statistics for Science and Engineering with Examples in R - Hongshik Ahn - Bog

Bag om Probability and Statistics for Science and Engineering with Examples in R

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the subsequent eight chapters students will learn about probability, discrete and continuous distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive table for each type of test to help students choose appropriate statistical tests and confidence intervals. Based on years of classroom experience and extensively class-tested, Probability and Statistics for Science and Engineering with Examples in R is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering. The material is also suitable for business and economics students who have studied calculus.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798823308274
  • Indbinding:
  • Paperback
  • Sideantal:
  • 372
  • Udgivet:
  • 8. december 2022
  • Størrelse:
  • 203x20x254 mm.
  • Vægt:
  • 797 g.
  • 8-11 hverdage.
  • 13. december 2024
På lager
Forlænget returret til d. 31. januar 2025

Normalpris

  • BLACK WEEK

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Probability and Statistics for Science and Engineering with Examples in R

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing.

The first chapter introduces methods for describing statistics. Over the course of the subsequent eight chapters students will learn about probability, discrete and continuous distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive table for each type of test to help students choose appropriate statistical tests and confidence intervals.

Based on years of classroom experience and extensively class-tested, Probability and Statistics for Science and Engineering with Examples in R is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering. The material is also suitable for business and economics students who have studied calculus.

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